Student rights and obligations (login required)
Linköping University common rules and regulations (in Swedish)
Distributed Embedded Software and Networks, 4 credits
Distribuerad inbyggd programvara och nätverk, 4 hp
TDDI07
Main field of study
Computer Science and Engineering Electrical EngineeringCourse level
First cycleCourse type
Programme courseExaminer
Mikael AsplundDirector of studies or equivalent
Ahmed RezineEducation components
Preliminary scheduled hours: 42 hRecommended self-study hours: 65 h
Available for exchange students
YesECV = Elective / Compulsory / Voluntary
| Course offered for | Semester | Period | Timetable module | Language | Campus | ECV | |
|---|---|---|---|---|---|---|---|
| 6IDAT | Computer Engineering, B Sc in Engineering (Embedded Systems) | 5 (Autumn 2017) | 2 | 1 | English | Linköping, Valla | C |
| 6CDDD | Computer Science and Engineering, M Sc in Engineering | 7 (Autumn 2017) | 2 | 1 | English | Linköping, Valla | E |
| 6IELK | Engineering Electronics | 5 (Autumn 2017) | 2 | 1 | English | Linköping, Valla | E |
| 6IELK | Engineering Electronics (Embedded Systems) | 5 (Autumn 2017) | 2 | 1 | English | Linköping, Valla | E |
| 6CITE | Information Technology, M Sc in Engineering | 7 (Autumn 2017) | 2 | 1 | English | Linköping, Valla | E |
Main field of study
Computer Science and Engineering, Electrical EngineeringCourse level
First cycleAdvancement level
G2XCourse offered for
- Computer Engineering, B Sc in Engineering
- Engineering Electronics
- Computer Science and Engineering, M Sc in Engineering
- Information Technology, M Sc in Engineering
Entry requirements
Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshold requirements for progression within the programme, or corresponding.
Prerequisites
Operating systems and introductory networks course.Intended learning outcomes
After course completion the student should be able to:
• describe and explain applications and their societal impact as well as problems and solutions related to distributed embedded systems
• evaluate, analyse and compare methods for networking, resource management and distributed algorithms
• read and understand relevant scientific literature
• orally present and discuss complex technical solutions
• review and provide constructive feedback to peers
• use sensor networks platforms and tools and to implement and evaluate a small sensor network.
Course content
• Future generation networks: sensor networks, pervasive computing, mobility, internet of things, machine-to-machine communication
• Examples: Disaster management, surveillance, environmental protection, healthcare, transportation, home automation
• Energy management: factors causing energy consumption and optimisation techniques
• Networking: MAC protocols, broadcasting, data collection and routing
• Resource allocation: overload management, energy-aware protocols, bandwidth allocation
• Dependability: fault tolerance, redundancy, security
• Time synchronisation and positioning
• Sensor Networks platforms and tools (e.g. motes + tinyOS). Laboratory work consists of implementing a sensor network that tranfers/processes
the data measured by the sensors.
Teaching and working methods
Basic methods, algorithms and relevant examples are introduced in lectures.
Students read scientific papers, analyse some of them in written form, and review the work of their peers. The papers are also treated in seminars where students present and discuss their strenghts and weaknesses. Laboratory assignments aim to give implementation-related insights and facilitate experimentation with different solutions.
Examination
| UPG1 | Written assignments | 2.5 credits | U, 3, 4, 5 |
| LAB1 | Laboratory work | 1.5 credits | U, G |
Grades
Four-grade scale, LiU, U, 3, 4, 5Department
Institutionen för datavetenskapDirector of Studies or equivalent
Ahmed RezineExaminer
Mikael AsplundCourse website and other links
http://www.ida.liu.se/education/ugrad/courses/tf/TDDI07Education components
Preliminary scheduled hours: 42 hRecommended self-study hours: 65 h
Course literature
Additional literature
Books
- Verdone, R., Mazzini, G., Dardari, D., & Conti, A, (2008) Wireless Sensor and Actuator Networks : technologies, analysis and design
Articles
Other
- Aktuella vetenskapliga artiklar
| Code | Name | Scope | Grading scale |
|---|---|---|---|
| UPG1 | Written assignments | 2.5 credits | U, 3, 4, 5 |
| LAB1 | Laboratory work | 1.5 credits | U, G |
Regulations (apply to LiU in its entirety)
The university is a government agency whose operations are regulated by legislation and ordinances, which include the Higher Education Act and the Higher Education Ordinance. In addition to legislation and ordinances, operations are subject to several policy documents. The Linköping University rule book collects currently valid decisions of a regulatory nature taken by the university board, the vice-chancellor and faculty/department boards.
LiU’s rule book for education at first-cycle and second-cycle levels is available at http://styrdokument.liu.se/Regelsamling/Innehall/Utbildning_pa_grund-_och_avancerad_niva.
Additional literature
Books
Verdone, R., Mazzini, G., Dardari, D., & Conti, A, (2008) Wireless Sensor and Actuator Networks : technologies, analysis and design
Articles
Other
Aktuella vetenskapliga artiklar
Note: The course matrix might contain more information in Swedish.
I = Introduce, U = Teach, A = Utilize
| I | U | A | Modules | Comment | ||
|---|---|---|---|---|---|---|
| 1. DISCIPLINARY KNOWLEDGE AND REASONING | ||||||
| 1.1 Knowledge of underlying mathematics and science (G1X level) |
|
|
X
|
LAB1
UPG1
|
||
| 1.2 Fundamental engineering knowledge (G1X level) |
X
|
X
|
X
|
LAB1
UPG1
|
||
| 1.3 Further knowledge, methods, and tools in one or several subjects in engineering or natural science (G2X level) |
X
|
X
|
|
LAB1
UPG1
|
||
| 1.4 Advanced knowledge, methods, and tools in one or several subjects in engineering or natural sciences (A1X level) |
|
|
|
|||
| 1.5 Insight into current research and development work |
|
|
|
|||
| 2. PERSONAL AND PROFESSIONAL SKILLS AND ATTRIBUTES | ||||||
| 2.1 Analytical reasoning and problem solving |
|
X
|
X
|
LAB1
UPG1
|
||
| 2.2 Experimentation, investigation, and knowledge discovery |
X
|
X
|
X
|
LAB1
|
||
| 2.3 System thinking |
|
X
|
X
|
LAB1
UPG1
|
||
| 2.4 Attitudes, thought, and learning |
|
X
|
X
|
LAB1
|
||
| 2.5 Ethics, equity, and other responsibilities |
X
|
|
|
|||
| 3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION | ||||||
| 3.1 Teamwork |
|
|
X
|
|||
| 3.2 Communications |
|
|
X
|
|||
| 3.3 Communication in foreign languages |
|
|
X
|
|||
| 4. CONCEIVING, DESIGNING, IMPLEMENTING AND OPERATING SYSTEMS IN THE ENTERPRISE, SOCIETAL AND ENVIRONMENTAL CONTEXT | ||||||
| 4.1 External, societal, and environmental context |
X
|
|
|
|||
| 4.2 Enterprise and business context |
|
|
|
|||
| 4.3 Conceiving, system engineering and management |
|
X
|
X
|
LAB1
UPG1
|
||
| 4.4 Designing |
X
|
X
|
|
LAB1
UPG1
|
||
| 4.5 Implementing |
|
X
|
X
|
LAB1
|
||
| 4.6 Operating |
X
|
|
|
|||
| 5. PLANNING, EXECUTION AND PRESENTATION OF RESEARCH DEVELOPMENT PROJECTS WITH RESPECT TO SCIENTIFIC AND SOCIETAL NEEDS AND REQUIREMENTS | ||||||
| 5.1 Societal conditions, including economic, social, and ecological aspects of sustainable development for knowledge development |
|
|
|
|||
| 5.2 Economic conditions for knowledge development |
|
|
|
|||
| 5.3 Identification of needs, structuring and planning of research or development projects |
|
|
|
|||
| 5.4 Execution of research or development projects |
|
|
|
|||
| 5.5 Presentation and evaluation of research or development projects |
|
|
|
|||
This tab contains public material from the course room in Lisam. The information published here is not legally binding, such material can be found under the other tabs on this page.
There are no files available for this course.